Relationship Between Systemic Inflammation Index and No-Reflow Phenomenon in Patients With ST-Segment Elevation Myocardial Infarction

HbA1c/C-Peptide Ratio Is a Potential Biomarker Used to Predict No-Reflow Phenomenon in Patients With ST-Elevation Myocardial Infarction

In this letter, we discussed that HbA1c/C-peptide ratio is a potential biomarker used to predict no-reflow phenomenon in patients with ST-elevation myocardial infarction.

Evaluation of Hematological and Biochemical Parameters that Predict the No-reflow Phenomenon in Patients Undergoing Primary Percutaneous Coronary Intervention

Acute coronary syndromes (ACS) are one of the most common causes of morbidity and mortality worldwide. Primary percutaneous coronary intervention (pPCI) is the main treatment strategy to restore myocardial perfusion. However, the no-reflow phenomenon (NRP) may block coronary flow. The present study focused on assessing and contrasting predictive parameters for NRP in ACS patients. Our research is a retrospective analysis. We assessed the parameters significantly associated with NRP using Cox regression and Receiver operating characteristic (ROC) Curve analysis. The study included 5122 patients who met the criteria. The average age of the patients was 63.9 + 13.2, and 74.4% were male. It was observed that NRP developed in 1.8% of all patients. Age, hemoglobin (Hb), white blood cell (WBC), glucose and low density lipoprotein cholesterol (LDL-C) were determined to be independent predictors of NRP. The power of these parameters to predict NRP was similar, and WBC was the most predictive (Area Under Curve (AUC): 0.605 95% CI: 0.539-0.671, P = .001). We believe that the use of these simple, practical, and routinely used hematological and biochemical parameters will help us predict the risk of developing NRP before pPCI. This information should improve management.

Newly defined biomarker for the no reflow phenomenon in patients with non-ST elevation acute coronary syndrome; uric acid to creatinine ratio

BACKGROUND

The present study aimed to investigate whether newly defined serum uric acid (SUA) to serum creatinine ratio (SUA/SCr) predicts no-reflow phenomenon (NRP) development in patients with non-ST-elevated acute coronary syndrome (NSTE-ACS).

METHODS

The study group was divided into two groups: those who developed NRP and those who did not. Complete blood counts, SUA, serum creatinine, C-reactive protein (CRP) and albumin were obtained at admission. The SUA/SCr, SUA to albumin ratio (UAR), C-reactive protein to albumin ratio (CAR) and systemic immune inflammation (SII) index values of all patients were calculated and their relationships with NRP were evaluated.

RESULTS

Patients with NRP had higher mean SUA/SCr ratio (7.19 ± 2.14 vs 5.30 ± 1.70, p < 0.001), mean UAR (1.73 ± 0.69 vs 1.38 ± 0.47, p < 0.001), median CAR (1.73 vs 1.54, p = 0.002), and median SII index (861.9 vs 730.9, p = 0.015) levels than in those who did not develop NRP. According to multivariant analysis models, SUA/SCr ratio, UAR, CAR and SII index were found to be independent predictors of NRP development (p < 0.05 for all) but only the area under the curve (AUC) for SUA/SCr ratio (AUC = 0.73, p < 0.001) was above the 0.70 proficiency level, performing markedly better than the other evaluated parameters. A SUA/SCr ratio ≥5.34 predicted the NRP with 75% sensitivity and 55% specificity.

CONCLUSION

SUA/SCr ratio can be used as a reliable marker in prediction the development of NRP in NSTE-ACS patients.

Correlations Between Acute Coronary Syndrome and Novel Inflammatory Markers (Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Aggregate Index of Systemic Inflammation) in Patients with and without Diabetes or Prediabetes

Purpose

Type 2 diabetes mellitus (DM) is a recognized independent risk factor for both chronic coronary syndrome (CCS) and its complication, acute coronary syndrome (ACS). Patients with DM and prediabetes (preDM) face an increased ACS risk. Inflammation plays a significant role in the pathogenesis of both CCS and ACS. This study delves into novel inflammatory markers, such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI, also known as SIIRI or PIV), to explore their relationship with ACS and CCS in patients that have been or have not been diagnosed with DM or preDM.

Patients and Methods

This study included data of 493 patients with chest pain undergoing coronary angiography. They were categorized into four groups: 1) without DM/preDM and with CCS; 2) with both DM/preDM and CCS; 3) without DM/preDM and with ACS, 4) with both DM/preDM and ACS. Standard methods of statistical analysis were used to reveal possible differences between groups and to find the most influential ACS risk factors in groups with DM/preDM and without DM/preDM.

Results

The analysis showed no significant differences in SII, SIRI, or AISI between the respective patient groups. A logistic regression analysis generated a model incorporating SII, high-density lipoprotein, and low-density lipoprotein levels as the influential ACS risk factors for patients with DM/preDM. The model demonstrated 71.0% accuracy, 37.0% sensitivity, and 89.4% specificity.

Conclusion

The findings suggest that the aforementioned inflammatory markers may have potential for distinguishing DM/preDM patients at higher risk of ACS at a low financial cost. However, further comprehensive and well-designed research is required to validate their clinical utility.

Prognostic value of systemic immune-inflammation index in CAD patients: Systematic review and meta-analyses

BACKGROUND

Systemic immune-inflammation index (SII) is a novel inflammatory marker based on neutrophils, platelets and lymphocytes counts, which has potential prognostic value among coronary artery disease (CAD) patients as described by some observational studies. We aimed to provide higher-certainty evidence to verify the association of SII with poor outcomes of CAD patients.

METHODS

PubMed, Web of Science, Embase, Ovid and Scopus were searched to find relevant literature exploring the prognostic value of SII among CAD patients. Hazard ratios (HRs) with 95% confidence intervals (CIs) extracted from the literature included were pooled with the fixed-effect or random-effect model. Sensitivity analyses and subgroup analyses were conducted to detect the source of heterogeneity and evaluate the stability of results.

RESULTS

A total of nine studies with 15,832 participants were included. The quantitative synthesis including eight studies with 15,657 participants showed that the high SII was related to the major adverse cardiovascular event in CAD patients (HR with 95% CI: 2.36 [1.67, 3.33]). After eliminating heterogeneity and adjusting for publication bias, the above result was still robust (HR with 95% CI: 1.67 [1.32, 2.12]). Additionally, we also demonstrated the prognostic values of SII for all-cause death, cardiovascular death, myocardial infarction and stroke.

CONCLUSION

Higher SII has prognostic values for adverse outcomes in CAD patients.